Questions tagged [computer-vision]
Computer Vision is a subfield of computer science which deals with analyzing and understanding images. This includes detection of objects like faces in images or segmenting images.
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does object Aspect-ratio affect our resize policy?
Is object aspect ratio truly important for resize robustness, or is this suggestion based on a misunderstanding — e.g., treating a very wide object as if it is “bigger” or “pixel-richer” than a square ...
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YOLO knowledge distillation (11x to 11n) yields poorer performance than native training
I'm trying to distill a YOLO11x detection model into a YOLO11n for inference speed improvements without sacrificing too much detection performance.
For this, I just overloaded some functions in the ...
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Can I train what background is in a picture?
I have ~1,000 pictures like this. I really want the long, thin rock core in the middle, but they all differ (slightly) in angle, have different lengths, shaped ends and rock colours vary.
I tried ...
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DensNet169 model accuracy not increasing on medical classification dataset
I am training an DensNet model on medical dataset which has gold standards as per annotation. After training i noticed accuracy is just 60%. Later i performed following changes but still no luck. ...
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human detection using Thermal Imaging camera and Machine Learning on Raspberry Pi
I'm working on a Raspberry Pi 4–based project involving the MLX90640 thermal camera breakout. The camera outputs a thermal heat map (a low-resolution infrared image of 32x24 pixels). My goal is to ...
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How to normalize bounding box sizes in perspective transform for objects at different distances from the camera
I’m working on an object detection system and I'm new to this field. Here i'm talking with respect to camera point of view. When a object is detected which is far from the camera, it appears small and ...
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Need support to straighten,crop image properly for requirement in computer vision
My requirement:
Need to extract license plates without duplicates and store images in a folder,then apply ocr to extract text from images.
What i have achieved:
Iam able to detect license plates ...
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How to properly implement and debug RPN anchors in ResNet-18 for multi-object detection?
I am working on my first object detection project and need to implement multi-object detection using ResNet-18 (I am restricted to using this architecture). My dataset follows the COCO format and ...
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Validation metrics plateau from the first few epochs at relatively good values and don't improve
I am working on 6D pose tracking, where the goal is to estimate how 3D position and orientation of an object changes from frame t-1 to t. Train/validation datasets are synthetic and come from a single ...
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How can I convert a one-line substation schema image into XML/JSON with all components and connections preserved?
I have an image of a one-line substation schema diagram that includes various components (like transformers, circuit breakers, etc.) and the connections between them. I’m looking for a way to convert ...
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Persistent 6D Rotation Representation Collapse to near-zero magnitudes in sequential camera rotation estimation
I am using a 6D continuous rotation representation (e.g., two orthogonal vectors from a 3×3 rotation matrix) to predict camera rotations in panoramic video sequences. Since panoramic videos involve ...
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CNN for gaze regression predicts near the mean
I am currently building my first CNN network on my own for a regression task for which the network must predict the coordinates I am looking at on my screen based on an input image taken through my ...
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Looking for images dataset with multiple images per instance
I'm looking for images dataset which have multiple images per instance. For example, healthcare dataset, where each person is classified with a diagnosys and have several images describing them.
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How to make a correct prompt for "gpt-4o" vision API to find letters in an image?
I have an example of a generated image containing words, as well as several red arrows pointing to certain characters.
I need to get these characters from GPT, but when I ask "what characters do ...
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How to deal with many unlabeled data in an object detection dataset
I've a large multi-class object detection image dataset. The goal is to use a Yolo(v11) model to be trained on the aforementioned dataset to solve the object detection task.
My intuition says that the ...
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